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Content archived on 2024-05-18

Combining geostatistical and bayesian methods to improve the scientific basis for the management of atlantic mackerel fisheries

Objective

OBJECTIVES AND EXPECTED ACHIEVEMENTS
The main objectives of the project are: to combine geostatistical and Bayesian statistical methods to improve the scientific basis for the management of Atlantic mackerel stocks, to apply Bayesian decision theory to evaluate the potential consequences for fishery management of applying both total allowable catch (TAC) and spatial controls, and to assess the information gathering requirements of these controls.

Atlantic mackerel fisheries are economically important with annual catches in EU waters of about 500,000 t and gross landed values of approximately 50 million Euros. A major tool for the assessment of these stocks which forms the main scientific basis for these fisheries management is a trienial survey of- pelagic mackerel eggs. From these surveys, absolute estimates of spawner abundance are obtained.

Topic(s)

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Funding Scheme

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Coordinator

IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
EU contribution
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Address
Prince Consort Road
LONDON
United Kingdom

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Total cost
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Participants (3)